AIMC Topic: Terminology as Topic
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Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.
Anesthesia and analgesia
Nov 1, 2018
Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical ca...
Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2018
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.
Bioinformatics (Oxford, England)
Apr 15, 2018
MOTIVATION: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are based o...
Opportunities and obstacles for deep learning in biology and medicine.
Journal of the Royal Society, Interface
Apr 1, 2018
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar...
Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.
Advances in experimental medicine and biology
Jan 1, 2018
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...
Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses.
Studies in health technology and informatics
Jan 1, 2018
The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate an...
Selection of Semantic Relevant Healthcare Services Subsets.
Studies in health technology and informatics
Jan 1, 2018
We describe an approach to select semantically coherent specialty subsets based on the historical use of terminology by different service areas. Our approach uses rule-based and machine learning techniques to obtain a reduced set of 29 specialties.
Feasibility and Utility of Lexical Analysis for Occupational Health Text.
Journal of occupational and environmental medicine
Jun 1, 2017
OBJECTIVE: Assess feasibility and potential utility of natural language processing (NLP) for storing and analyzing occupational health data.
miRNAmeConverter: an R/bioconductor package for translating mature miRNA names to different miRBase versions.
Bioinformatics (Oxford, England)
Feb 15, 2017
SUMMARY: The miRBase database is the central and official repository for miRNAs and the current release is miRBase version 21.0. Name changes in different miRBase releases cause inconsistencies in miRNA names from version to version. When working wit...
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